Abstract: Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved.

Abstract: The present disclosure relates to a method and apparatus for modeling a photovoltaic power curve, and a computer device and a storage medium thereof. The method includes: acquiring photovoltaic data at various time points within a specified time period; dividing the photovoltaic data at the various time points into at least two photovoltaic data packets; and establishing, according to the respective photovoltaic data of the at least two photovoltaic data packets, packet photovoltaic power curves respectively corresponding to the at least two photovoltaic data packets. By the method, the photovoltaic data is fitted in different time periods during the photovoltaic curve modeling process, thereby reducing the influence of the difference between photoelectric conversion efficiencies in different time periods on photovoltaic curve modeling, and improving the accuracy of photovoltaic curve modeling.

Abstract: Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved.